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| import gradio as gr | |
| import requests | |
| import json | |
| import os | |
| import time | |
| from collections import defaultdict | |
| from PIL import Image | |
| import io | |
| BASE_URL = "https://api.jigsawstack.com/v1" | |
| headers = { | |
| "x-api-key": os.getenv("JIGSAWSTACK_API_KEY") | |
| } | |
| # Rate limiting configuration | |
| request_times = defaultdict(list) | |
| MAX_REQUESTS = 20 # Maximum requests per time window | |
| TIME_WINDOW = 3600 # Time window in seconds (1 hour) | |
| def get_real_ip(request: gr.Request): | |
| """Extract real IP address using x-forwarded-for header or fallback""" | |
| if not request: | |
| return "unknown" | |
| forwarded = request.headers.get("x-forwarded-for") | |
| if forwarded: | |
| ip = forwarded.split(",")[0].strip() # First IP in the list is the client's | |
| else: | |
| ip = request.client.host # fallback | |
| return ip | |
| def check_rate_limit(request: gr.Request): | |
| """Check if the current request exceeds rate limits""" | |
| if not request: | |
| return True, "Rate limit check failed - no request info" | |
| ip = get_real_ip(request) | |
| now = time.time() | |
| # Clean up old timestamps outside the time window | |
| request_times[ip] = [t for t in request_times[ip] if now - t < TIME_WINDOW] | |
| # Check if rate limit exceeded | |
| if len(request_times[ip]) >= MAX_REQUESTS: | |
| time_remaining = int(TIME_WINDOW - (now - request_times[ip][0])) | |
| time_remaining_minutes = round(time_remaining / 60, 1) | |
| time_window_minutes = round(TIME_WINDOW / 60, 1) | |
| return False, f"Rate limit exceeded. You can make {MAX_REQUESTS} requests per {time_window_minutes} minutes. Try again in {time_remaining_minutes} minutes." | |
| # Add current request timestamp | |
| request_times[ip].append(now) | |
| return True, "" | |
| def generate_image(prompt, aspect_ratio, width, height, steps, negative_prompt, guidance, seed, request: gr.Request): | |
| rate_limit_ok, rate_limit_msg = check_rate_limit(request) | |
| if not rate_limit_ok: | |
| return None, {"error": "Rate limit exceeded", "message": rate_limit_msg} | |
| # Validate required inputs | |
| if not prompt or not prompt.strip(): | |
| return None, {"error": "Prompt is required"} | |
| if len(prompt.strip()) > 5000: | |
| return None, {"error": "Prompt must be between 1-5000 characters"} | |
| # Build payload with required and optional parameters | |
| payload = { | |
| "prompt": prompt.strip() | |
| } | |
| # Add optional parameters if provided | |
| if aspect_ratio and aspect_ratio.strip(): | |
| payload["aspect_ratio"] = aspect_ratio.strip() | |
| if width: | |
| try: | |
| width_int = int(width) | |
| if 256 <= width_int <= 1920: | |
| payload["width"] = width_int | |
| else: | |
| return None, {"error": "Width must be between 256-1920 pixels"} | |
| except ValueError: | |
| return None, {"error": "Width must be a valid number"} | |
| if height: | |
| try: | |
| height_int = int(height) | |
| if 256 <= height_int <= 1920: | |
| payload["height"] = height_int | |
| else: | |
| return None, {"error": "Height must be between 256-1920 pixels"} | |
| except ValueError: | |
| return None, {"error": "Height must be a valid number"} | |
| if steps: | |
| try: | |
| steps_int = int(steps) | |
| if 1 <= steps_int <= 90: | |
| payload["steps"] = steps_int | |
| else: | |
| return None, {"error": "Steps must be between 1-90"} | |
| except ValueError: | |
| return None, {"error": "Steps must be a valid number"} | |
| if negative_prompt and negative_prompt.strip(): | |
| payload["negative_prompt"] = negative_prompt.strip() | |
| if guidance: | |
| try: | |
| guidance_float = float(guidance) | |
| if 1 <= guidance_float <= 28: | |
| payload["guidance"] = guidance_float | |
| else: | |
| return None, {"error": "Guidance must be between 1-28"} | |
| except ValueError: | |
| return None, {"error": "Guidance must be a valid number"} | |
| if seed: | |
| try: | |
| seed_int = int(seed) | |
| payload["seed"] = seed_int | |
| except ValueError: | |
| return None, {"error": "Seed must be a valid number"} | |
| try: | |
| r = requests.post(f"{BASE_URL}/ai/image_generation", headers=headers, json=payload) | |
| r.raise_for_status() | |
| # The API returns the image directly as binary data | |
| if r.headers.get('content-type', '').startswith('image/'): | |
| # Convert bytes to PIL Image for Gradio | |
| # Create PIL Image from bytes | |
| image = Image.open(io.BytesIO(r.content)) | |
| return image, {"success": True, "message": "Image generated successfully!"} | |
| else: | |
| # If not an image, try to parse as JSON for error | |
| try: | |
| error_data = r.json() | |
| return None, {"error": "Image generation failed", "details": error_data} | |
| except: | |
| return None, {"error": "Unexpected response format"} | |
| except requests.exceptions.RequestException as req_err: | |
| return None, {"error": "Request failed", "message": str(req_err)} | |
| except Exception as e: | |
| return None, {"error": "Unexpected error", "message": str(e)} | |
| # ----------------- Gradio UI ------------------ | |
| with gr.Blocks() as demo: | |
| gr.Markdown(""" | |
| <div style='text-align: center; margin-bottom: 24px;'> | |
| <h1 style='font-size:2.2em; margin-bottom: 0.2em;'>🧩 Image Generation</h1> | |
| <p style='font-size:1.2em; margin-top: 0;'>Generate high-quality images from text prompts using advanced AI models.</p> | |
| <p style='font-size:1em; margin-top: 0.5em;'>For more details and API usage, see the <a href='https://jigsawstack.com/docs/api-reference/ai/image-generation' target='_blank'>documentation</a>.</p> | |
| </div> | |
| """) | |
| with gr.Row(): | |
| with gr.Column(): | |
| gr.Markdown("#### Input") | |
| prompt = gr.Textbox( | |
| label="Text Prompt", | |
| lines=4, | |
| placeholder="Enter text to describe the image" | |
| ) | |
| gr.Markdown("#### Quick Examples") | |
| gr.Markdown("Click any example below to auto-fill the prompt:") | |
| with gr.Row(): | |
| img_example_btn1 = gr.Button("🏔️ Mountain Landscape", size="sm") | |
| img_example_btn2 = gr.Button("🐱 Cute Cat Portrait", size="sm") | |
| img_example_btn3 = gr.Button("🏙️ Cyberpunk City", size="sm") | |
| with gr.Row(): | |
| img_example_btn4 = gr.Button("🌊 Ocean Sunset", size="sm") | |
| img_example_btn5 = gr.Button("🚀 Space Station", size="sm") | |
| img_example_btn6 = gr.Button("🏰 Medieval Castle", size="sm") | |
| with gr.Row(): | |
| img_example_btn7 = gr.Button("🎨 Abstract Art", size="sm") | |
| img_example_btn8 = gr.Button("🍕 Delicious Pizza", size="sm") | |
| gr.Markdown("#### Image Options") | |
| aspect_ratio = gr.Textbox( | |
| label="Aspect Ratio (optional, e.g., 16:9, 4:3)", | |
| placeholder="16:9, 4:3, etc.", | |
| info="Common ratios: 16:9, 4:3, 1:1" | |
| ) | |
| width = gr.Textbox( | |
| label="Width (optional, pixels)", | |
| placeholder="1024", | |
| info="Minimum: 256, Maximum: 1920" | |
| ) | |
| height = gr.Textbox( | |
| label="Height (optional, pixels)", | |
| placeholder="768", | |
| info="Minimum: 256, Maximum: 1920" | |
| ) | |
| steps = gr.Textbox( | |
| label="Steps (optional, 1-90)", | |
| placeholder="50", | |
| info="Minimum: 1, Maximum: 90" | |
| ) | |
| negative_prompt = gr.Textbox( | |
| label="Negative Prompt (optional)", | |
| placeholder="A bad image", | |
| info="Optional: describe what you don't want in the image" | |
| ) | |
| guidance = gr.Textbox( | |
| label="Guidance (optional, 1-28)", | |
| placeholder="7.5", | |
| info="Minimum: 1, Maximum: 28" | |
| ) | |
| seed = gr.Textbox( | |
| label="Seed (optional)", | |
| placeholder="Random", | |
| info="Optional: randomize image generation" | |
| ) | |
| with gr.Column(): | |
| gr.Markdown("#### Preview") | |
| image_preview = gr.Image(label="Generated Image") | |
| generate_image_btn = gr.Button("Generate Image", variant="primary") | |
| generate_image_result = gr.JSON(label="Image Generation Result") | |
| # Example functions to auto-fill prompt field | |
| def fill_img_example_1(): | |
| return "A majestic mountain landscape with snow-capped peaks, crystal clear lake in the foreground, golden hour lighting, photorealistic, 8K resolution" | |
| def fill_img_example_2(): | |
| return "A cute fluffy cat sitting on a windowsill, looking directly at camera with big green eyes, soft natural lighting, high quality, detailed fur" | |
| def fill_img_example_3(): | |
| return "A futuristic cyberpunk cityscape at night, neon lights, flying cars, tall skyscrapers, rain-slicked streets, cinematic lighting" | |
| def fill_img_example_4(): | |
| return "A breathtaking ocean sunset over calm waters, orange and pink sky, silhouettes of palm trees, peaceful atmosphere, high resolution" | |
| def fill_img_example_5(): | |
| return "A massive space station orbiting Earth, detailed engineering, solar panels, astronauts in space suits, stars and nebula background" | |
| def fill_img_example_6(): | |
| return "An ancient medieval castle on a hilltop, stone walls and towers, flags waving, dramatic clouds, fantasy atmosphere, detailed architecture" | |
| def fill_img_example_7(): | |
| return "Abstract digital art with flowing colors, geometric shapes, vibrant gradients, modern aesthetic, artistic composition" | |
| def fill_img_example_8(): | |
| return "A delicious pizza with melted cheese, pepperoni, fresh basil, wood-fired oven, appetizing, high quality food photography" | |
| # Connect example buttons to auto-fill functions | |
| img_example_btn1.click(fill_img_example_1, outputs=[prompt]) | |
| img_example_btn2.click(fill_img_example_2, outputs=[prompt]) | |
| img_example_btn3.click(fill_img_example_3, outputs=[prompt]) | |
| img_example_btn4.click(fill_img_example_4, outputs=[prompt]) | |
| img_example_btn5.click(fill_img_example_5, outputs=[prompt]) | |
| img_example_btn6.click(fill_img_example_6, outputs=[prompt]) | |
| img_example_btn7.click(fill_img_example_7, outputs=[prompt]) | |
| img_example_btn8.click(fill_img_example_8, outputs=[prompt]) | |
| generate_image_btn.click( | |
| generate_image, | |
| inputs=[prompt, aspect_ratio, width, height, steps, negative_prompt, guidance, seed], | |
| outputs=[image_preview, generate_image_result] | |
| ) | |
| demo.launch() | |